【代谢】

1.      Jieqiong Li, Laurence Don Wai Luu, Xiaoxia Wang .et  al. Metabolomic analysis reveals potential biomarkers and the underlying pathogenesis involved in Mycoplasma pneumoniae pneumonia.Emerging Microbes & Infections. 11:1,593-605 (2022)

2.      Xiaolan Huang,Laurence Don Wai Luu,Nan Jia.et al. Multi-Platform Omics Analysis Reveals Molecular Signatures for Pathogenesis and Activity of Systemic Lupus Erythematosus.Frontiers in Immunology.13:833699(2022)

3.      Yang-yang He,Yi Yan,Ji-wang Chen. et al. Plasma metabolomics in the perioperative period of defect repair in patients with pulmonary arterial hypertension associated with congenital heart disease. Acta Pharmacologica Sinica.0:1-11 (2021)

4.       Xiaolei Ma, Lulu lu,Zheng Zhao. et al. Lipidomics profiling of skin surface lipids in senile pruritus.Lipids in Health and Disease.19:171,1-10 (2020)

5.      Yang-Yang He, Xin-Mei Xie,Hong-Da Zhang.et al. Identification of Hypoxia Induced Metabolism Associated Genes in Pulmonary Hypertension. Frontiers in Pharmacology.05,1-14 (2021)

6.      Yu Tan, Zhaoxue Sheng,Peng Zhou. et al . Plasma Teimenthylamine N-Oxide as a Novel Biomarkers for Plaque Rupture in Patients With ST-Segment-Elevation Myocardial Infarction. Circulation:Cardiovascular Interventions. 1-8 (2019)

7.      Lin Sun, Jie-qiong  Li,Na Ren. et al.   Utility of Novel Plasma Metabolic Markers in the Diagnosis of Pediatric Tuberculosis: A Classification and Regression Tree Analysis Approach. J Proteome Res.15,3118-25(2016)

8.      Li Z, Du B, Li J.et al.Cerebrospinal fluid metabolomic profiling in tuberculous and viral meningitis: Screening potential markers for differential diagnosis. Clin Chim Acta.466,38-45(2017)

9.      CHENG WANG,  LUMING DAI .et al.  Metabolomic analysis based on 1H-nuclear magnetic       resonance spectroscopy metabolic profiles in tuberculous, malignant and transudative pleural effusion. MOLECULAR MEDICINE REPORTS 16: 1147-1156 (2017)

10.      Wenwen Liu, Meilin Liu.et al. Serum ω-3 Polyunsaturated Fatty Acids and Potential Influence Factors      in Elderly Patients with Multiple Cardiovascular Risk Factors. Scientific ReportS. 8:1102 (2018)

11.     Jian Liu, Wenjun Jiang .et al. Free amino acid profiling of gastric juice as a method for discovering potential biomarkers of early gastric cancer.  Int J Clin Exp Pathol. 11(4) (2018)

12.    Xiao-Rong Zhu,Fang-yuan Yang.et al.Plasma metabolomics profiling of proliferative diabetic retinapathy. Nutrition & Metabolism. 16:37(2019)

13.     Lin Sun,Xiaoyan Zhang.et al.Antibiotic-Induced Disruption of Gut Microbiota Alters Local Metabolomes and Immune Responses.(2019)

14.    Qing Xu, Yong Zhang.et al. Medium-chain triglycerides improved cognition and lipid metabolomics in mild to moderate Alzheimer’s disease patients with APOE4^_/_:A double-blind,randomized,placebo-controlled crossover trial. Clinical Nutrition. (2019)

【蛋白】

1.         Haijie Liu,Ziwen Wang,et al. Lable-free Quantitative Proteomic Analysis of cerebropinal fluid and serum in patients with relapse-remitting multiple sclerosis.Frontiers in Genetics.13：892491（2022 April)

2.         Li S, Wang R, Zhang M. et al. Proteomic analysis of non-small cell lung cancer tissue interstitial fluids. World J Surg Oncol.11,173(2013 Aug)

3.         Fan NJ, Gao JL, Liu Y. et al. Label-free quantitative mass spectrometry reveals a panel of differentially expressed proteins in colorectal cancer. Biomed Res Int.2015,365068(2015)

4.         Fan NJ, Gao CF, Wang XL. Tubulin beta chain, filamin A alpha isoform 1, and cytochrome b-c1 complex subunit 1 as serological diagnostic biomarkers of esophageal squamous cell carcinoma: a proteomics study. OMICS.17,215-23(2013 Apr)

5.         Bai J, He A, Huang C. et al. Serum peptidome based biomarkers searching for monitoring minimal residual disease in adult acute lymphocytic leukemia. Proteome Sci.12,49(2014 Sep)

6.         Yang J, Xiong X, Wang X. et al. Identification of peptide regions of SERPINA1 and ENOSF1 and their protein expression as potential serum biomarkers for gastric cancer. Tumour Biol.36,5109-18(2015 Jul)

7.         Li J, Sun L, Xu F. et al. Screening and Identification of APOC1 as a Novel Potential Biomarker for Differentiate of Mycoplasma pneumoniae in Children. Front Microbiol.7,1961(2016 Dec)

8.         Zhu D, Wang J, Ren L. et al. Serum proteomic profiling for the early diagnosis of colorectal cancer. J Cell Biochem.114,448-55(2013 Feb)

9.         Yu Q, Wu W, Tian X. et al. Unraveling proteome changes of Holstein beef M. semitendinosus and its relationship to meat discoloration during post-mortem storage analyzed by label-free mass spectrometry. J Proteomics.154,85-93(2017 Feb)

10.         Zhang J, Tan K, Meng X. et al. Overexpression of G6PD and HSP90 Beta in Mice with Benzene Exposure Revealed by Serum Peptidome Analysis. Int J Environ Res Public Health.12,11241-53(2015 Sep)

11.     Yu Q, Wu W, Tian X. et al. Comparative proteomics to reveal muscle-specific beef color stability of Holstein cattle during post-mortem storage. Food Chem.229,769-778(2017 Aug)

12.     Tao YL, Li Y, Gao J, Liu ZG. et al. Identifying FGA peptides as nasopharyngeal carcinoma-associated biomarkers by magnetic beads. J Cell Biochem.113,2268-78(2012 Jul)

13.     Wang C, Zhao D, Shah SZA. et al. Proteome Analysis of Potential Synaptic Vesicle Cycle Biomarkers in the Cerebrospinal Fluid of Patients with Sporadic Creutzfeldt-Jakob Disease. Mol Neurobiol.54,5177-5191(2017 Sep)

14.     Wang H, Li Y, Yang L. et al. Mass spectrometry-based, label-free quantitative proteomics of round spermatids in mice. Mol Med Rep.10,2009-24(2014 Oct)

15.     Hou D, Chen Y, Liu J. et al. Proteomics screen to reveal molecular changes mediated by C722G missense mutation in CHRM2 gene. J Proteomics.26,89;39-50(2013 Aug)

16.     Zhang X, Liu F, Li Q. et al. A proteomics approach to the identification of plasma biomarkers for latent tuberculosis infection. Diagn Microbiol Infect Dis.79,432-7(2014 Aug)

17.     Yang JK, Wang YY, Liu C. et al. Urine Proteome Specific for Eye Damage Can Predict Kidney Damage in Patients With Type 2 Diabetes: A Case-Control and a 5.3-Year Prospective Cohort Study. Diabetes Care.40,253-260(2017 Feb)

18.     Pang M, Bai XY, Li Y. et al. Label-free LC-MS/MS shotgun proteomics to investigate the anti-inflammatory effect of rCC16. Mol Med Rep.14,4496-4504(2016 Nov)

19.     Xu H, Shang Q, Chen H. et al. ITIH4: A New Potential Biomarker of "Toxin Syndrome" in Coronary Heart Disease Patient Identified with Proteomic Method. Evid Based Complement Alternat Med.2013,360149(2013)

20.     Ge LQ, Huang LJ, Yang GQ. et al. Molecular basis for insecticide-enhanced thermotolerance in the brown  planthopper  Nilaparvata  lugens  Stål  (Hemiptera:Delphacidae). Mol Ecol.22,5624-34(2013 Nov)

21.     Wang Z, Shang P1, Li Q. et al. iTRAQ-based proteomic analysis reveals key proteins affecting muscle growth and lipid deposition in pigs. Sci Rep.7,46717(2017 Apr)

22.     Wang Y, Chen J, Chen L. et al. Urinary peptidomics identifies potential biomarkers for major depressive disorder. Psychiatry Res.217,25-33(2014 Jun)

23.     Lu Pang，Haixia Li. et al. Urine proteomics of primary membranous nephropathy using nanoscale liquid chromatography tandem mass spectrometry analysis. Clinical Proteomics  15:5 (2018)